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Advanced Machine Learning Technologies and Applications
  • Language: en
  • Pages: 737

Advanced Machine Learning Technologies and Applications

This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.

Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023
  • Language: en
  • Pages: 801

Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11–13, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.

Proceedings of the Second International Conference on Information Management and Machine Intelligence
  • Language: en
  • Pages: 751

Proceedings of the Second International Conference on Information Management and Machine Intelligence

This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 – 25 July 2020. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.

Cyber Intelligence and Information Retrieval
  • Language: en
  • Pages: 630

Cyber Intelligence and Information Retrieval

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques.

Micro-Electronics and Telecommunication Engineering
  • Language: en
  • Pages: 813

Micro-Electronics and Telecommunication Engineering

Zusammenfassung: The book presents high-quality papers from the Seventh International Conference on Microelectronics and Telecommunication Engineering (ICMETE 2023). It discusses the latest technological trends and advances in major research areas such as microelectronics, wireless communications, optical communication, signal processing, image processing, Big Data, cloud computing, artificial intelligence, and sensor network applications. This book includes the contributions of national/international scientists, researchers, and engineers from both academia and the industry. The contents of this book will be useful to researchers, professionals, and students alike

Proceedings of the Third International Conference on Information Management and Machine Intelligence
  • Language: en
  • Pages: 640

Proceedings of the Third International Conference on Information Management and Machine Intelligence

This book features selected papers presented at Third International Conference on International Conference on Information Management and Machine Intelligence (ICIMMI 2021) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 23 – 24 December 2021. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.

Computational Intelligent Techniques in Mechatronics
  • Language: en
  • Pages: 549

Computational Intelligent Techniques in Mechatronics

This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. Mechatronics has been a revolutionary force in engineering and medical robotics over the past decade. It will lead to a major industrial revolution and affect research in every field of engineering. This book covers the basics of mechatronics, computational intelligence approaches, simulation and modeling concepts, architectures, nanotechnology, real-time monitoring and control, different actuators, and sensors. The book explains clearly an...

Advances in Artificial-Business Analytics and Quantum Machine Learning
  • Language: en
  • Pages: 810

Advances in Artificial-Business Analytics and Quantum Machine Learning

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Data Analysis for Neurodegenerative Disorders
  • Language: en
  • Pages: 267

Data Analysis for Neurodegenerative Disorders

This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks an...